Plot comparing the circular tracking errors of the three algorithms. by Xiaosong Liu (66661)

Plot comparing the circular angle tracking performances of the three algorithms. by Xiaosong Liu (66661)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Graph showing the tracking errors of the three control algorithms under noise. by Xiaosong Liu (66661)

Chart showing the target tracking performances of the three control algorithms under noise. by Xiaosong Liu (66661)

Security algorithm framework. by Ali Shahzad (15251641)

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Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

“…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”

Comparison with the BST algorithm for the AF and CST bundles. by Thomas Durantel (20933812)

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Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Dice score for various <i>α</i> values (from the Eq 8) for the tracking of the CST and for the iFOD and PTT algorithms. by Thomas Durantel (20933812)

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Comparison of clustering algorithms (K-Means, MeanShift, etc.) based on the average Silhouette Score. by Manju M. S. (22793350)

Comparison of tracking results between our method and other mainstream methods. by Guoqing Zhang (151441)

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The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Comparison with different detection methods. by Guoqing Zhang (151441)

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Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image size of 1024 × 1024 pixels.... by Xiaoke Liu (11388323)

“…<p>Comparison of different algorithms for worm tracking. All methods were executed on identical hardware (as detailed in Section 2.2) and evaluated on the same dataset using an image size of 1024 × 1024 pixels. …”

Ablation study of different improved methods. by Guoqing Zhang (151441)

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Comparison of advantages and disadvantages of wildlife monitoring methods. by Guoqing Zhang (151441)

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Tracking in challenging conditions. by Weheliye H. Weheliye (22022140)

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Data for "Machine Learning-based Prediction of Passive Gears from Vessel Tracking Data in Small-Scale Multi-gear Fisheries" by Pamela Lattanzi (16454871)

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